Displaying 5 results from an estimated 5 matches similar to: "ChiSquare-Test"
2007 Sep 20
3
Ambiguities in vector
Hello all you helpful people out there!
I am stil R Beginner using R 2.5.1 on a Apple Power Book G4 with Mac
OS X 10.4.10 .
Perhaps you haven?t understood my question in the mail yesterday. So
I will try to describe my problem in a different way
You see the tables. I would like to test the variables between the
tables. But for some variables in some species , I have more than 1
1997 Aug 22
0
R-alpha: class for chisquare tests; Thoughts on print & summary
From: Martin Maechler <maechler@stat.math.ethz.ch>
To: Kurt.Hornik@ci.tuwien.ac.at
CC: R-devel@stat.math.ethz.ch
Subject: Re: R-alpha: class for chisquare tests; Thoughts on print & summary
Kurt,
I think we hopefully are coming to an agreement that
1) your ctest collection should make its way into 'R core'
((and you are the one who can make it happen now ..))
By all
2008 Apr 04
0
looking for a CDF of bivariate noncentral Chisquare
Hi,
I would like to know if there is a program written in R to get the CDF
(cumulative distribution function) of a bivariate non-central chi-square
distribution.
Hope someone will reply.
Thank you,
Rossita M Yunus
yunus@usq.edu.au
This email (including any attached files) is confidentia...{{dropped:19}}
1997 Aug 21
2
R-alpha: new class for chisquare tests?
I sort of asked this before, but perhaps not explicitly enough.
In my ctest collection, there are several chisquare-based tests. For
some of them, it may be useful to also return information on expected
(and observed) counts. The question is, how should this be done. Of
course, there is no problem adding the corresponding components to the
list returned by the functions. However, as these are
2005 Sep 15
4
Rcommander and simple chisquare
In this years biostat teaching I will include Rcommander (it indeed
simplifies syntax problems that makes students frequently miss the
core statistical problems). But I could not find how to make a simple
chisquare comparison between observed frequencies and expected
frequencies (eg in genetics where you expect phenotypic frequencies
corresponding to 3:1 in standard dominant/recessif